Update README.md

README.md

@@ -1,3 +1,48 @@
 ---
 license: apache-2.0
+task_categories:
+- summarization
+language:
+- fr
+pretty_name: SciELO
 ---
+
+
+# LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization 
+
+A collaboration between [reciTAL](https://recital.ai/en/), [MLIA](https://mlia.lip6.fr/) (ISIR, Sorbonne Université), [Meta AI](https://ai.facebook.com/), and [Università di Trento](https://www.unitn.it/)
+
+## SciELO dataset for summarization
+
+SciELO is a dataset for summarization of research papers written in Spanish and Portuguese, for which layout information is provided.
+
+### Data Fields
+
+- `article_id`: article id
+- `article_words`: sequence of words constituting the body of the article
+- `article_bboxes`: sequence of corresponding word bounding boxes
+- `norm_article_bboxes`: sequence of corresponding normalized word bounding boxes
+- `abstract`: a string containing the abstract of the article
+- `article_pdf_url`: URL of the article's PDF
+
+### Data Splits
+
+This dataset has 3 splits: _train_, _validation_, and _test_. 
+
+| Dataset Split | Number of Instances (ES/PT) |
+| ------------- | ----------------------------|
+| Train         |   20,853 / 19,407           |
+| Validation    |    1,158 / 1,078            |
+| Test          |    1,159 / 1,078            |
+
+
+## Citation
+
+``` latex
+@article{nguyen2023loralay,
+  title={LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization},
+  author={Nguyen, Laura and Scialom, Thomas and Piwowarski, Benjamin and Staiano, Jacopo},
+  journal={arXiv preprint arXiv:2301.11312},
+  year={2023}
+}
+```